{"product_id":"automatic-simd-vectorization-of-ssa-based-control-flow-graphs-paperback","title":"Automatic Simd Vectorization of Ssa-Based Control Flow Graphs - Paperback","description":"\u003cp\u003eby \u003cb\u003eRalf Karrenberg\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eRalf Karrenberg presents Whole-Function Vectorization (WFV), an approach that allows a compiler to automatically create code that exploits data-parallelism using SIMD instructions. Data-parallel applications such as particle simulations, stock option price estimation or video decoding require the same computations to be performed on huge amounts of data. Without WFV, one processor core executes a single instance of a data-parallel function. WFV transforms the function to execute multiple instances at once using SIMD instructions. The author describes an advanced WFV algorithm that includes a variety of analyses and code generation techniques. He shows that this approach improves the performance of the generated code in a variety of use cases.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eRalf Karrenberg presents Whole-Function Vectorization (WFV), an approach that allows a compiler to automatically create code that exploits data-parallelism using SIMD instructions. Data-parallel applications such as particle simulations, stock option price estimation, or video decoding require the same computations to be performed on huge amounts of data. Without WFV, one processor core executes a single instance of a data-parallel function. WFV transforms the function to execute multiple instances at once using SIMD instructions. The author describes an advanced WFV algorithm that includes a variety of analyses and code generation techniques. He shows that this approach improves the performance of the generated code in a variety of use cases.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eContents\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003e\u003c\/b\u003eIntroduction, Foundations \u0026amp; Terminology, Related Work\u003c\/li\u003e\n\u003cli\u003eSIMD Property Analyses\u003c\/li\u003e\n\u003cli\u003eWhole-Function Vectorization\u003c\/li\u003e\n\u003cli\u003eDynamic Code Variants, Evaluation, Conclusion, Outlook\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eTarget Groups\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003e\u003c\/b\u003eComputer science researchers and students working in data-parallel computing\u003c\/li\u003e\n\u003cli\u003eSoftware and compiler engineers in the fields high-performance computing and compiler construction\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003eRalf Karrenberg received his PhD in computer science at Saarland University in 2015. His seminal research on compilation techniques for SIMD architectures found wide recognition in both academia and the CPU and GPU industry. Currently, he is working for NVIDIA in Berlin. Prior to that, he contributed to research and development for visual effects in blockbuster movies at Weta Digital, New Zealand.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eRalf Karrenberg received his PhD in computer science at Saarland University in 2015. His seminal research on compilation techniques for SIMD architectures found wide recognition in both academia and the CPU and GPU industry. Currently, he is working for NVIDIA in Berlin. Prior to that, he contributed to research and development for visual effects in blockbuster movies at Weta Digital, New Zealand.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 187\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.43 x 8.27 x 5.83 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 29, 2015\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42105653198983,"sku":"9783658101121","price":89.08,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/ed34cbf85beee5d5bcccd0cdabebb40f.webp?v=1732436095","url":"https:\/\/booksby.splitshops.com\/products\/automatic-simd-vectorization-of-ssa-based-control-flow-graphs-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}